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近红外光谱定量分析样本选择理论研究进展 被引量：7

Review of research on sample selection theoretics of near infrared spectroscopy quantitative analysis
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摘要 本文综述了国内外近年来近红外定量分析样本选择理论的研究状况,对相关方法的优缺点进行了比较。 We had a review on sample selection theoretics of near infrared spectroscopy quantitative analysis and compared some methods′ characteristic with each other.
作者 刘绪平 胡昌勤 田克仁 钟瑞建
机构地区 江西省食品药品检验所 中国药品生物制品检定所 江西省食品药品监督管理局
出处 《药物分析杂志》 CAS CSCD 北大核心 2010年第7期1340-1342,共3页 Chinese Journal of Pharmaceutical Analysis
关键词 近红外光谱 定量分析 样本选择 Near infrared spectroscopy（NIRS） quantitative analysis sample selection
分类号 R917 [医药卫生—药物分析学]
  • 相关文献

参考文献19

  • 1YANYan-lu(严衍禄),ZHAOLong-lian(赵龙莲),HANDong-hai(韩东海),et al. Near Infrared Spectroscopy Fundamentals and Applications.(近红外光谱分析基础与应用).Beijing(北京):Chinese Light Industry Press(中国轻工业出版社),2005.
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  • 3K. I. Hildrum ,T. Isaksson ,T. Naeset al. Near infra - red spectroscopy;Bridging the gap between data analysis and NIR applications, Ellis Horwood, Chichester, 1992.
  • 4DL Massart, BMG Vandeginste,LMC Buydens,et al. Smeyers - Verbeke, Handbook of chemometrics and qualimetrics: part A, Elsevier, Amsterdam, 1997.
  • 5LU Wan-zhen(陆婉珍),YUAN Hong-m(袁洪福),XU Guang -tong(徐广通)et al.Modern Near-Infrared Spectroscopy(现代近红外光谱分析技术).Beijing(北京):China Petrochemical Press(中国石化出版社),2001.
  • 6M. Blaneo,M. A. Romero, M. Alcala. Strategies for constructing the calibration set for a near infrared spectroscopic quantitation mothod. Talanta 2004(64) :597.
  • 7李运锋,袁景淇,薛耀锋.发酵过程中神经网络训练样本的选取[J].化工自动化及仪表,2004,31(6):21-24. 被引量：9
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  • 10Joan Ferre, F. Xavier Rius. Constructing D - optimal designs from a list of candidate samples. Trends in analytical chemistry. 1997(16) : 70.

二级参考文献7

  • 1Karmen R K,Zupan J,Majcen N.Separation of Data on the Training and Te Set for Modelling:a Case udy for Modelling of Five Colour Properties of a White Pigment[J].Chemometrics and Intelligent Laboratory Syems,2003,65(2):221-229.
  • 2Sophocles V,Jordan G F,David B.Using Hiorical Data for Bioproce Optimization:Modeling Wine Characteriics Using Artificial Neural Networks and Archived Proce Information[J].Biotechnology and Bioengineering,2001,73(1):55-68.
  • 3Yuan J Q,Vanrolleghem P A,Rolling Learning prediction of Product Formation in Bioprocees[J].Journal of Biotechnology,1999,69:47-62.
  • 4Widrow B.Adaline and Madaline[A].Proceedings of IEEE 1st International Conference on Neural Networks[C].1987.143-158.
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  • 6Kocjancic R,Zupan J.Modelling of the River Flowrate:the Influence of the Training Set Selection[J].Chemometrics and Intelligent Laboratory Syems,2000,54(1):21-34.
  • 7Choueiki H M,Clark A.Training Data Development with the D Optimality Criterion[J].IEEE Transactions On Neural Networks,1999,10(1):56-63.

共引文献8

同被引文献54

引证文献7

二级引证文献18

药物分析杂志
2010年 第7期

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